The Future of Analytics Is Event-Based.
Google Analytics 4 (GA4) replaced Universal Analytics in July 2023, but many organizations still struggle with migration. GA4 uses an event-based data model instead of Universal Analytics session-based model. By 2025, only 55% of businesses have fully migrated to GA4 according to a Search Engine Land survey. GA4 offers powerful features including cross-platform tracking, machine learning insights, and privacy-focused measurement. Understanding GA4 differences is essential for accurate analytics.
At x13apps, we guide clients through GA4 migration. Here is our approach.
Key Differences Between UA and GA4
Data model: UA uses sessions and pageviews. GA4 uses events and parameters. Every interaction is an event. Metrics: GA4 uses engaged sessions instead of bounce rate, and engaged sessions per user instead of pages per session. Reporting: UA has predefined reports. GA4 uses exploratory reports with drag-and-drop customization. Views: UA has views for data filtering. GA4 uses data streams and filters property-level data. Sampling: GA4 has different sampling thresholds. Event parameters provide richer data than UA custom dimensions.
GA4 Migration Steps
Step 1: Create a GA4 property alongside your existing UA property. Run both in parallel for historical data comparison. Step 2: Implement GA4 tracking via Google Tag Manager or gtag.js. Map UA events to GA4 event parameters. Step 3: Set up conversions (GA4 equivalent of goals). Define key events and mark them as conversions. Step 4: Configure audiences, custom definitions, and integrations (Google Ads, Search Console, BigQuery). Step 5: Export historical UA data before it is deleted (GA4 does not import UA historical data).
Advanced GA4 Features
Predictive metrics: GA4 uses machine learning to predict purchase probability, churn probability, and revenue prediction. Audiences: create predictive audiences based on machine learning models. Funnel analysis: build step-by-step funnels with the funnel exploration tool. Path analysis: visualize user journeys through the path exploration tool. Segment overlap: understand how user segments intersect. BigQuery export: export raw event data for custom analysis. At x13apps, we help businesses leverage GA4 advanced features for deeper insights. For more, read our data-driven decision making guide.